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at least 30 credits must be at the advanced (master's) level. Courses in statistical analysis, quantitative methods, or mathematical modelling obtained outside these subject areas may also be included
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
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transfection work Experience with microscopy Experience with RNA-seq Experience with image and RNA-seq analysis, including competence using R or python and computational clusters Molecular biology techniques
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variability in risk factor susceptibility, treatment response, disease pathogenesis, and clinical diagnosis (biostatistics, machine/deep learning), ii) Investigating causal processes and disease mechanisms
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of the project, relevant experience in the analysis of ecological, geographic or climate data is a requirement. Knowledge of and interest in biodiversity and ecological processes is also mandatory
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experience in statistical analysis are also advantageous. The applicant should be able to work both independently and as part of a team. Proficiency in both spoken and written English is required. The ability
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function of retained trees for lichens will be evaluated. This will be done by field studies, analyses of already collected data, and a meta-analysis of published studies. By working at Kopparfors, the Ph D
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Do you want to contribute to top quality medical research? Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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mining. Project description The knowledge of the mechanical behaviour of tailings is the background of all safety and risk analysis related to tailing dams independent of their construction methods. It is